Abstract
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Highlights
• Deep learning (DL) algorithms identify subtle stenosis patterns missed by human clinicians.
• Artificial intelligence (AI), integration significantly improves diagnostic accuracy and efficiency in spinal stenosis.
• Convolutional neural network (CNN), models achieve performance comparable to human experts in stenosis assessment.
• AI facilitates earlier interventions for stenosis, improving overall patient outcomes.
• AI algorithms detect stenosis from plain radiographs, benefiting facilities without magnetic resonance imaging (MRI).